Machine learning for technical skill assessment in surgery: a systematic review

Accurate and objective performance assessment is essential for both trainees and certified surgeons. However, existing methods can be time consuming, labor intensive, and subject to bias. Machine learning (ML) has the potential to provide rapid, automated, and reproducible feedback without the need...

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Hlavní autoři: Kyle Lam, Junhong Chen, Zeyu Wang, Fahad Iqbal, Ara Darzi, Benny Lo, Sanjay Purkayastha, James Kinross
Médium: Revisão
Jazyk:angličtina
Vydáno: 2022
On-line přístup:https://doi.org/10.1038/s41746-022-00566-0
https://www.nature.com/articles/s41746-022-00566-0.pdf
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